code: def test_fit_2():
      X = np.array([[1], [2], [3]])
      y = np.array([1, 2, 3])
      est = BlankClassifier(print_progress=0, random_seed=1)
      est.fit(X=X, y=y)
  
file_path: mlxtend/mlxtend/_base/tests/test_classifier.py
imports: import numpy
  import pytest
  from mlxtend._base import _BaseModel, _Classifier
label_desc: Use image node_id 9 for calling a global function with example usage: test_fit_2() without return types